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All Journal TEKNIK INFORMATIKA Sainteks Jurnal Pseudocode SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA InComTech: Jurnal Telekomunikasi dan Komputer Jurnal SOLMA Prosiding Seminar Nasional Teknoka Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer IJID (International Journal on Informatics for Development) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Linguistik Komputasional Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science FIKROH: JURNAL PEMIKIRAN DAN PENDIDIKAN ISLAM Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) KLIK: Kajian Ilmiah Informatika dan Komputer Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer SmartComp Fikroh: Jurnal Pemikiran dan Pendidikan Islam JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) SAMBARA: Jurnal Pengabdian Kepada Masyarakat Cosmic Jurnal Teknik Journal of Informatics and Advanced Computing BHAKTI JIVANA Smatika Jurnal : STIKI Informatika Jurnal TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Firman Noor Hasan
Universitas Muhammadiyah Prof. Dr. Hamka
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Analisis Sentimen Masyarakat Mengenai RUU Perampasan Aset Di Twitter Menggunakan Metode Naïve Bayes kivandi Nugroho; Firman Noor Hasan
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 02 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i02.899

Abstract

The development of the world is growing especially in social media, one of which is Twitter. Twitter itself is a social media that can be accessed by various groups to communicate, besides that there are various kinds of public opinions that are quite varied. Data collection from Twitter can be used to conduct sentiment analysis in order to find out public opinion. The research conducted by researchers is an analysis of public sentiment regarding RUU Perampasan Aset that has never been passed. This research starts from data collection, processing, data implementation and evaluation using rapidminer tools. In the data retrieval process, researchers used the keyword "RUU Perampasan Aset", the data that was successfully obtained was 413, which was then processed at the Preprocessing stage so that later it could be analyzed using the naïve bayes method in this process 179 data were obtained. The results obtained in the form of positive and negative analysis of RUU Perampasan Asetl, obtained as many as 131 or 73% positive comments and only 48 or 27% negative comments. For positive class precision 90%, and class recall of 55%, while for negative class precision 42%, and class recall of 85%, with accuracy obtained at 63%.
Rancang Bangun Sistem Penebar Pakan Ikan berbasis Internet of Things (IoT) Ridwan Bagus Andreyanto; Gusnul Mahesa; Muhammad Rizal; Lutfi Triyuli Evana Rizki; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 10 (2025): Proceeding of TEKNOKA National Seminar - 10
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In everyday life, both in urban and rural areas, many people enjoy keeping fish as pets because they are easy to care for and maintain. This has led to a growing interest in fishkeeping among the general public. Fish kept in aquariums require regular feeding schedules to maintain their health, making an organized and consistent feeding system essential. The ESP32 is an integrated chip developed for modern networking applications. It provides a complete and integrated Wi-Fi networking solution that can function as an application processor or serve as a Wi-Fi network controller for other processors. One of its practical applications is in the development of an automatic fish feeder based on the Internet of Things (IoT). By utilizing the ESP32 along with supporting software such as Arduino IDE, Google Firebase, and MIT App Inventor, the automatic fish feeder can operate automatically according to predefined feeding schedules. Furthermore, the system can send notifications through a website when the fish have been fed or when the feed container is empty.
Utilization of Data Mining on MSMEs using FP-Growth Algorithm for Menu Recommendations Firman Noor Hasan; Achmad Sufyan Aziz; Yos Nofendri
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i2.2166

Abstract

Existing transaction data is only recorded and stored as a sales transaction memorandum, so it has not been utilized optimally. The data is only stored and used as transaction history. The availability of a lot of data and having a pattern of sales transactions that are similar to MSME Cafe Over Limit will be utilized by using data mining science. This research uses the association rules method. Implementation of fp-growth to get item combinations. The purpose of this research is to make it easier for MSMEs to determine menu recommendations for customers. The fp-growth algorithm is used to process as many as 2038 transaction data with a minimum support value of 10%, while for a minimum confidence value of 50%. So that there are 3 rules, namely "if you order Mariam chocolate cheese milk then the customer will order Kopsus Overlimit", from this rule it will form a support value of 10.79%, using a confidence value of 54.19% and a lift ratio of 0.93. Furthermore "if you order Kopsus Overlimit then you will order tofu at grandma's house", from the rule it will produce a support value of 34.69%, with a specified confidence value of 59.76%, so the lift ratio value is 1.15. The last rule "if you order tofu at grandma's house, the customer orders Kopsus Overlimit", from the rule that occurs, the support value is 34.69%, with a confidence value of 66.7% and a lift ratio of 1.15. The results of the study found the two best rules, namely "if the customer orders over-limit Kopsus, he will order tofu at grandma's house" and "if he orders tofu at grandma's house, the customer orders over-limit Kopsus". Based on the results of the rules formed, it can be concluded that only two rules can be categorized as valid and can be used as a reference in food and beverage menu recommendations at MSME Cafe Over Limit. So the results of this study can be useful to be applied to MSMEs, especially in terms of menu recommendations.
Implementasi Teknik Clustering untuk Meningkatkan Performa Aplikasi Node JS Rozak, Bahrul; Erizal, Erizal; Hasan, Firman Noor
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 4 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i4.4532

Abstract

Permasalahan yang sering kali muncul pada aplikasi berbasis server side, adalah request request dan response dalam jumlah yang besar. Proses request serta response akan terus berlanjut selama pengguna berinteraksi dengan aplikasi, Jika hal ini terus berlanjut maka penggunaan sumber daya (resource) yang berlebih pada CPU dapat menjadikan perfoma aplikasi tidak optimal bahkan dapat menimbulkan crash, yang berdampak pada layanan dan kualitas aplikasi. Oleh karena itu, diperlukan teknik untuk menangani permasalahan tersebut. Metode yang diimplementasikan pada penelitian ini ialah membuat aplikasi berbasis server side dengan dua spesifikasi yaitu dengan module cluster dan tanpa module cluster, selanjutnya kedua aplikasi dengan spesifikasi yang berbeda, masing-masing akan dilakukan tahap pengujian performa serta monitoring, kemudian dilakukan proses analisa hasil perbandingan untuk mendapatkan kesimpulan. Module cluster akan membantu untuk melakukan teknik clustering, teknik clustering ialah mengelompokkan proses yang sama serta sering dieksekusi. Dengan teknik ini beban kerja pada CPU akan terdistribusi, sehingga memberikan peningkatan performa aplikasi.
Analisis Sentimen Opini Masyarakat Terhadap Keefektifan Pembelajaran Daring Selama Pandemi COVID-19 Menggunakan Naïve Bayes Classifier Ari Wibowo; Firman Noor Hasan; Luthfi Akbar Ramadhan; Rika Nurhayati; Arief Wibowo
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Volume 4 Nomor 2 Tahun 2022
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v4i1.3577

Abstract

Since Indonesia was affected by the Covid-19 pandemic, one of the sectors affected was Education. The government makes an online learning system policy where the system is run with an online process. Not a few of them complained about the limitations of activities issued by the government. Twitter social media is often used to express opinions about concerns about programs issued by the government. The Twitter data crawling process was carried out using the hashtag "learning from home" to get as many as 1,000 datasets, followed by the process of removing duplicates which left 524 datasets and then carrying out the implementation stage of the Naïve Bayes Classifier Algorithm. The purpose of this study was to determine the number of positive and negative sentiments from the dataset labeling classification and to determine the accuracy results of using the Naïve Bayes Classifier method as well as the results of evaluation tests on positive and negative sentiment datasets. Based on the experiment, positive sentiment was obtained as many as 480 and negative sentiment as many as 44 out of 524 datasets. The accuracy results in the evaluation test process get results of 88.5% where negative sentiments get a precision value of 12%, recall 17%, and f1-score 14%, while positive sentiments get a precesion value of 95%, recall 93%, and f1 -score 94%.
The Influence of Simping Clamshell Addition on Disc Brake Pad Mechanical Properties: Pengaruh Penambahan Kulit Kerang Simping terhadap Sifat Mekanik pada Kampas Rem Cakram Agus Fikri; Firman Noor Hasan; Riyan Ariyansah
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Volume 5 Nomor 2 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i2.4984

Abstract

The brake pads made from asbestos are environmentally hazardous due to the friction and abrasion occurring during braking, resulting in the release of airborne asbestos fibers. These fibers pose various health risks to humans and contribute to environmental pollution. This study aims to analyze the influence of adding clamshell waste material on the mechanical properties of motorcycle disc brake pads. The research utilized an experimental approach, conducting tensile and friction tests on six samples with different compositions: 100% brake pads, 40% brake pads, 60% simping clamshell, 60% brake pads, 40% simping clamshell, 20% brake pads, 80% simping clamshell, 50% brake pads, 50% simping clamshell, and 100% brake pads. The results indicate that the sample comprising 50% used brake pads and 50% simping clamshell exhibited the smallest difference in thickness, measuring 0.05 mm or 0.59%, indicating the strongest adhesive strength and wear resistance compared to other variations. Thus, a higher simping clamshell composition sacrifices some tensile strength but offers improved elasticity, benefiting specific braking conditions.
Evaluating Wind Deflector Effect on Cargo Vans Aerodynamic Drag Using Computational Fluid Dynamics Agus Fikri; Riyan Ariyansah; Firman Noor Hasan; Oktarina Heriyani; Rosalina; Muhammad Ghiffar Sistani
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Volume 6 Nomor 2 Tahun 2024
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v6i2.6073

Abstract

Suboptimal design and body shape in freight transport vehicles can lead to increased aerodynamic drag. To address this issue, the use of wind deflectors is proposed as a solution to reduce aerodynamic resistance in cargo vans. The methodology employed in this research involves Computational Fluid Dynamics (CFD) simulations using the Ansys Fluent R2 2023 software. CFD simulations were conducted on the design of a cargo box vehicle with variations in Wind Deflector Models 1, 2, and 3, employing identical boundary condition parameters. The results of the CFD simulation for Wind Deflector Model 3 exhibited the lowest drag force at 1.1531116 Newton and a drag coefficient of 0.37031338. In conclusion, a comprehensive analysis of the CFD simulation results provides valuable insights into the intricate aerodynamic implications of Wind Deflector variations on cargo vans. Therefore, it is concluded that Wind Deflector Model 3 emerges as the optimal choice, showcasing superior aerodynamic characteristics.
Penerapan Business Intelligence Untuk Menganalisa Data Gempa Bumi di Indonesia Menggunakan Tableau Public Diana Fitri Lessy; Arry Avorizano; Firman Noor Hasan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 2 (2022): Desember 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i2.5316

Abstract

One of the natural disasters that often occurs in Indonesia is an earthquake. This is because Indonesia's geological position is between 3 important lithospheric plates, namely the Pacific, Eurasian and Indo-Australian plates. The forces between the plates are constantly changing, dampening disturbances both on land and at sea. This study aims to focus on visualizing earthquake data in Indonesia and implementing Business Intelligence to display earthquake area data, depth and magnitude. The method of this study uses the Tableau Public platform to process earthquake datasets in Indonesia obtained through www.kaggle.com for the period 01 January 2018 to 30 September 2022. This research produces a report in the form of a dashboard that contains data visualization for the earthquake area, depth and magnitude from various regions in Indonesia that can be used to assist in decisions to be taken. Various designs for dashboards can be used in Tableau to make data easier to read and understand.
Evaluasi Penggunaan Aplikasi Getcontact Sebagai Perlindungan Modus Penipuan Dengan Metode User Experience Questionnaire Pavita, Rachma; Hasan, Firman Noor
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5544

Abstract

Era digital saat ini, para penipu menggunakan teknologi untuk keuntungan pribadi. Berpura-pura sebagai orang terdekat atau bahkan karyawan bank adalah salah satu taktik yang sering digunakan. Namun, aplikasi bernama GetContact muncul untuk mengatasi penipuan ini. Aplikasi ini dapat mencari nomor telepon dan menemukan panggilan dan pesan singkat dari kontak yang tidak dikenal. Metode User Experience Questionnaire (UEQ) digunakan dalam penelitian aplikasi GetContact untuk mengukur tingkat kepuasan pengguna dengan berbagai kriteria, seperti daya tarik, efisiensi, ketepatan, stimulasi, dan kebaruan. Hasil penelitian menunjukkan bahwa aplikasi ini memiliki beberapa keuntungan dalam mendeteksi dan menghindari modus penipuan dengan nomor yang tidak dikenal, tetapi ada beberapa kelemahan yang perlu diperbaiki. Dengan nilai sebesar 0.69, ketepatan deteksi nama pada nomor telepon masih dapat ditingkatkan. Selain itu, fitur seperti daya tarik, efisiensi, stimulasi, dan kebaruan aplikasi kurang dari rata-rata. Meskipun aplikasi ini menawarkan kemampuan untuk mengakses informasi dan membantu pengguna menemukan nomor telepon, pengalaman pengguna kurang memuaskan. Namun, penelitian ini menemukan bahwa penggunaan GetContact dapat membantu mengidentifikasi dan mencegah modus nomor tidak dikenal. Aplikasi ini memiliki kelemahan, tetapi masih memiliki potensi untuk berkembang dan memberikan pengalaman pengguna yang lebih baik di masa mendatang.
EVALUASI USER EXPERIENCE PADA GAME GTA V ROLEPLAY SERVER INDOPRIDE MENGGUNAKAN METODE ENHANCED COGNITIVE WALKTHROUGH Zahra, Khofifah Humaeroh Az; Hasan, Firman Noor
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5659

Abstract

Grand Theft Auto (GTA) V merupakan video game action online berkonsep free roam dan story missions, yang diterbitkan oleh Rockstar Games. Dengan menggunakan FiveM, GTA V bisa dimodifikasi dan dimainkan secara roleplay dengan multiplayer dalam sebuah server. Di Indonesia, server Indopride Roleplay merupakan salah satu server GTA V Roleplay yang sudah berdiri selama 5 tahun. Server Indopride Roleplay jika memiliki user experience yang bagus, maka akan mudah menarik para player dan mampu bersaing di pasar server FiveM Indonesia. Penelitian ini bertujuan untuk melakukan evaluasi user experience dengan metode enhanced cognitive walkthrough, dalam mengevaluasi permasalahan dan rekomendasi peningkatan server Indopride Roleplay berdasarkan hasil evaluasi oleh para player. Dimana dengan menggunakan metode ini partisipan akan diberikan skenario task untuk menjawab pertanyaan yang berasal dari perspektif pengguna. Data partisipan yang diambil berdasarkan player yang sudah pernah bermain di server Indopride Roleplay. Setelah dilakukan evaluasi dengan metode enhanced cogntiive walkthrough, nilai masalah tertinggi terdapat pada matrix A dengan nilai 4,60 pada task importance 3 dan problem seriousness 4, lalu matrix B dengan nilai 3,10 pada problem type feedback dan problem seriousness 4, matrix C dengan nilai 1,75 pada problem type feedback dan task importance 1, kemudian matrix D dengan nilai 3,60 pada problem seriousness 4 dan task number 7, dan terakhir matrix E dengan nilai 1,25 pada problem type feedback dan task number 7.
Co-Authors Abdillah, Allif Rizki Abdul Syakir Achmad Ramadhan Achmad Sufyan Aziz Afandi, Irfan Ricky Affandi, Irfan Ricky Afikah, Prista Afnan Sabili, Dian Ainurrafik Agus Fikri Agus Fikri Ahmad Rizal Dzikrillah Ahmad Rizal Dzikrillah Ahmad Roshid Ahmad Syahril Ahmad Syahril Al Ghozi, Dhiyauddin Alfandi Safira Alim, Endy Sjaiful Allif Rizki Abdillah Allif Rizki Abdillah Allif Rizki Abdillah Ammar Rusydi Ananda Prasta Warasati Janah Ananda, Ridha Faiz Andika Saputra Andriyani, Widyastuti Anhari, Tirta Anwar Hidayat Ari Wibowo Ari Wibowo Arief Wibowo Arien Bianingrum Rossianiz Arvin Rafialdo Aulia, Muhammad Fathan Avorizano, Arry Azhar Haikal Anwar Azhar Haikal Anwar Azis Styo Nugroho Bagas Kembar Rezkyllah Bahrul Rozak Bahrul Rozak Bisma Indrawan Dan Mugisidi Dandie Triyanto Desty Afni Dewi Mayangsari Dian Ainurrafik Afnan Sabili Dian Ainurrafik Afnan Sabili Diana Fitri Lessy Diana Fitri Lessy Dimas Febriawan Dimas Febriawan Dimas Febriawan Dion Parisda Ray Djeli Moh Yusuf Doni Gunawan Rambe E Erizal Erizal Erizal Estu Sinduningrum Estu Sinduningrum Fachri Zaini Fadli Al Gani Fadli Hardiyanto Putra Fadli, Khairul Faisal Parsakh Nursyamsi Faisal Parsakh Nursyamsyi Fajar Sidik Faldy Irwiensyah Faldy Irwiensyah Faldy Irwiensyah, Faldy Farhan Bias Purnama Putra Farhan Nufairi Farhan Nufairi Fathurrohman, Sewin Fauzan Setya Ananto Fauzi Kurniawan Fayakun Kun Febriandirza, Arafat Febriawan, Dimas Fikri, Agus Gusnul Mahesa Hafizh Dhery Al Assyam Hana, Muhammad Yusril Handika, Yusuf Hanif, Isa Faqihuddin Hazbi Santoso Hibatullah Faisal Hibatullah Faisal Hibatullah Faisal Hilmi Ammar Hilmy Zhafran Muflih I Ketut Sudaryana, I Ketut Ibnu Suhada Indra Ramadhan Indra Ramadhan Indriyanti, Prastika Intan Diah Hardyatman Intania Widyaningrum Irawati Irawati Irfan Ricky Afandi Irfan Ricky Affandi Irma Wahyuningtyas Irwansyah Irwansyah Isa Faqihuddin Hanif Isnan Wisnu Prastiyo Kamayani, Mia kivandi Nugroho Krisna, Mohammad Dito Dwi Kurniyati Nur Lathifah Dini Rachmawati Lingga Lingga Lingga Lita Astri Pramesti Luqman Abdur Rahman Malik Lutfi Triyuli Evana Rizki Luthfi Akbar Ramadhan M. Asep Rizkiawan Meliyawati MILASARI, LISA ASTRIA Mohammad Akhdaan Juliandra Muchammad Sholeh Muchammad Sholeh Muflih, Hilmy Zhafran Muhamad Saiful Arif Muhammad Abid Fajar Muhammad Ardhi Ryan Saputra Muhammad Ghiffar Sistani Muhammad Ikhwan Muhammad Ikhwan Muhammad Rafly Al Fattah Zain Muhammad Ridwan Muhammad Rifansyah Mukti, Avis Tantra Mutiara Zahra Arifin Nanang Juhandi Hermawan Neneng Siti Maryam Nisa Qonita Rizkina Nofendri, Yos Nugroho, Dendy Aprilianto Nunik Pratiwi Oktarina Heriyani Pamungkas, Dimas Panji Islami Anakku Pavita, Rachma Pranata, Ananda Bagas Prisilia Talakua Prista Afikah Purnamaningsih, Ine Rahayu Putri, Kirana Alyssa Rafli Erlangga Rahman Malik, Luqman Abdur Rahmatullah, Ahmad Faiz Ramadhita, Nindia Fitri Ramzah, Harry Reisa Inayah Rian gustini Ridwan Bagus Andreyanto Ridwan Maulana Subekti Rika Nurhayati Riyan Ariyansah Rizal Rizal Rizki Alamsyah Rizki Dittyata Rizki Kamelia Rizky Ramdhani Rosalina Rosalina Rozak, Bahrul Saputra, Ramadani Sari, Jessica Windi Sari, Laila Atikah Setiawan, Ahmat Sewin Fathurrohman Simamora, Silvia Damayanti Sinduningrum, Estu Sistani, Muhammad Ghiffar Siti Nurhaliza Sri Fitriani Sunata, Muhamad Hafidz Ardian Syahri, Alfi Tasya Rizki Salsabilla Tia Anggita Sari Transiska, Dwi Vivi Andriani Wahyu Stiyawan Wahyuningtyas, Irma Wanda Aulia Winanta, Haditya Pandu Windi Al Azmi Wiyono Wiyono Wulandari, Sania Yusuf Handika Zahra, Khofifah Humaeroh Az Zaini, Fachri Zuhri Halim